MacBook Pro (14-inch, 2021)
Geekbench AI Score
9876
Single Precision Score
9822
Half Precision Score
3057
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mitgeek |
| Upload Date | September 10 2024 02:03 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| Model | MacBook Pro (14-inch, 2021) |
| Model ID | MacBookPro18,4 |
| Motherboard | MacBookPro18,4 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4544
845.0 IPS |
|
|
Image Classification (HP)
|
100% |
4657
866.1 IPS |
|
|
Image Classification (Q)
|
97% |
3586
669.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
9253
150.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9459
153.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9162
148.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
56135
65.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
59063
68.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
51714
60.6 IPS |
|
|
Object Detection (SP)
|
100% |
4636
367.7 IPS |
|
|
Object Detection (HP)
|
100% |
5027
398.7 IPS |
|
|
Object Detection (Q)
|
92% |
3933
313.9 IPS |
|
|
Face Detection (SP)
|
100% |
18173
215.9 IPS |
|
|
Face Detection (HP)
|
100% |
18945
225.1 IPS |
|
|
Face Detection (Q)
|
100% |
13232
157.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
25445
196.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
26196
201.8 IPS |
|
|
Depth Estimation (Q)
|
1% |
0
167.2 IPS |
|
|
Style Transfer (SP)
|
100% |
95286
122.5 IPS |
|
|
Style Transfer (HP)
|
100% |
117983
151.7 IPS |
|
|
Style Transfer (Q)
|
96% |
107934
139.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16820
621.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17143
633.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12750
470.8 IPS |
|
|
Text Classification (SP)
|
100% |
1245
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
738
985.0 IPS |
|
|
Text Classification (Q)
|
93% |
737
989.6 IPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
863
14.9 IPS |
|
|
Machine Translation (Q)
|
98% |
795
13.7 IPS |
